Triple
T12983963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Vättern |
E321719
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Visingsö
Visingsö is a historically significant Swedish island in Lake Vättern, known for its medieval castle ruins, oak forests, and picturesque rural landscapes.
|
E1012568
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Visingsö | Statement: [Lake Vättern, hasIsland, Visingsö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visingsö Context triple: [Lake Vättern, hasIsland, Visingsö]
-
A.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
B.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
C.
Svartsö
Svartsö is a rural, forested island in Sweden’s Stockholm archipelago known for its tranquil atmosphere, small community, and outdoor recreation opportunities.
-
D.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
-
E.
Sicklaön
Sicklaön is an island and urban district area just east of central Stockholm, Sweden, known for its mix of residential neighborhoods, commercial centers, and waterfront landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Visingsö Triple: [Lake Vättern, hasIsland, Visingsö]
Generated description
Visingsö is a historically significant Swedish island in Lake Vättern, known for its medieval castle ruins, oak forests, and picturesque rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Visingsö Target entity description: Visingsö is a historically significant Swedish island in Lake Vättern, known for its medieval castle ruins, oak forests, and picturesque rural landscapes.
-
A.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
B.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
C.
Svartsö
Svartsö is a rural, forested island in Sweden’s Stockholm archipelago known for its tranquil atmosphere, small community, and outdoor recreation opportunities.
-
D.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
-
E.
Sicklaön
Sicklaön is an island and urban district area just east of central Stockholm, Sweden, known for its mix of residential neighborhoods, commercial centers, and waterfront landscapes.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5e3f208190abd2d4b4d5114834 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f4320881909d66eaa48f888fab |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dc31ec819093c89ff0a1ccbfa1 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6baacd7548190af5514923a0dee26 |
completed | May 3, 2026, 3:02 a.m. |
Created at: April 9, 2026, 8:39 p.m.